BAS: Beetle Antennae Search Algorithm for Optimization Problems
This is an incremental contribution to optimization algorithms for researchers in meta-heuristics.
The paper introduced the Beetle Antennae Search (BAS) algorithm, a meta-heuristic inspired by longhorn beetles' searching behavior, and validated its efficacy on two well-known test functions with numerical results.
Meta-heuristic algorithms have become very popular because of powerful performance on the optimization problem. A new algorithm called beetle antennae search algorithm (BAS) is proposed in the paper inspired by the searching behavior of longhorn beetles. The BAS algorithm imitates the function of antennae and the random walking mechanism of beetles in nature, and then two main steps of detecting and searching are implemented. Finally, the algorithm is benchmarked on 2 well-known test functions, in which the numerical results validate the efficacy of the proposed BAS algorithm.